Stream

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STREAM is a Computer Graphics group, tackling geometric modeling and computer animation problems. Our main focus is the extraction and representation of structure contained in static or in dynamic 3D contents. Understanding and modeling structure enables us to process contents in a unified way, were they captured data, simulation results, or rough user input such as sketches. The identified structures and correspondences can be used for meaningful content visualization, manipulation and editing, for fast design of structurally-similar contents, for data completion and replication of details, as well as for shape and motion transfer with automatic adaptation to a new context. Our research benefits from the variety of technical backgrounds of team members, which range from expressive shape design and animation to geometry processing and computational geometry.

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The STREAM team is part of the LIX (Laboratoire d’informatique de l’X), CNRS UMR 7161.

News

  • Maks Ovsjanikov received an ERC Starting Grant for his project EXPROTEA (Exploring Relations in Structured Data with Functional Maps).

  • Julien Pettré from Inria Rennes will give a presentation on Crowd Animation and Simulation Friday, the 13th of October at 10:30am.

    Abstract: In this presentation, we will give an overview of our research on crowd simulation and animation. The objective of crowd simulation is to compute the collective motion of many entities forming a crowd. We are interested in microscopic approaches, which means that the simulation is computing the motion of each agent independently. We will shortly the many kind of studies to understand better how each individual adapts to his neighbors, which is a basis to design local models of interactions at the core of microscopic approaches. We will explain how we transformed this knowledge into realistic microscopic crowd simulation algorithms. In a second part, we will explain how crowd simulators are used in practice for computer animation purpose, and some original techniques we developed to facilitate crowd motion design, as well as to solve performance.

    Julien Pettré is research scientist at INRIA, the French National Institute for Research in Computer Science and Control (www.inria.fr) since 2006. He received M.S. degree in 2000. He prepared his thesis under the supervision of Jean-Paul Laumond and obtained his Ph.D. in 2003 from the University of Toulouse III in France. He then spent one 18 months post doc at VRlab, EPFL, Switzerland, headed by Daniel Thalmann. At INRIA in Rennes, he is now part of the Lagadic research team headed by François Chaumette. His research interests are : crowd simulation, motion planning, autonomous virtual humans, computer animation and virtual reality.